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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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15th January 2026 Languages English Norsk Bokmål English English PhD Fellowship in molecular modelling and machine learning for improved subsurface utilization Apply for this job See advertisement
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, Molecular Biology or related fields at the time of admittance to the programme Documented experience in at least one of the following areas: microbial growth of non-model bacterial species (ideally in
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available at the HISP Centre, Department of Informatics. Starting date as soon as possible. The appointment is a fulltime position and is for a period of three years. A fourth year may be considered with a
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that could provide a basis for successfully completing a doctorate. Applicants that additionally have competence within computational physics/chemistry, geosciences, reservoir engineering or modelling will be
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scientists, and we put emphasis on communicating our research to decision-makers and a wider audience. Our methods include global and regional modeling of human and natural systems, the use of observational
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Deviations” (TOMABOLD), funded by the Research Council of Norway. The PhD position will focus on the large deviation analysis of probabilistic models, and associated problems in PDE, with emphasis
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to include programming and computational modelling as core elements. Deadline 6th January 2026 Employer University of Oslo Municipality Oslo Scope Fulltime (1 positions) Fulltime (%) Duration Project Place of
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The University